•  
  •  
 

Journal of System Simulation

Abstract

Abstract: Abstruct: A lot of research achievements have been made in image dehazing based on neural network,but there aiming at the fog residue, even the color distortion and texture loss, in complex outdoor image dehazing, an image dehazing network based on densely connected residual block and channel pixel attention is proposed. Densely connected residual blocks are used to extract and fuse the features of foggy images,and the repair module with channel pixel attention mechanism is used to repair the color and texture of the feature maps. The experimental results show that, compared with the existing methods, the proposed method and significantly improves the objective evaluation index and subjective visual quality, effectively avoid the color distortion, texture loss and residual fog in the process of image dehazing.

First Page

1663

Revised Date

2022-01-24

Last Page

1673

CLC

TP391.9

Recommended Citation

Weidong Jin, Shuli Zhang, Peng Tang, Man Zhang. Image Dehazing Network Based on Densely Connected Residual Block and Channel Pixel Attention[J]. Journal of System Simulation, 2022, 34(8): 1663-1673.

Corresponding Author

Shuli Zhang,1273438490@qq.com

DOI

10.16182/j.issn1004731x.joss.21-1160

Share

COinS